Results 131 to 140 of about 87,373 (338)

Deregulated enhancer‐promoter communication in cancer through altered nuclear architecture

open access: yesInternational Journal of Cancer, EarlyView.
Abstract Enhancers are critical regulators of gene expression. Structural variations in cancer genomes can lead to enhancer hijacking, where oncogenes are activated by mistargeted enhancer activity. Novel enhancer‐promoter interactions may also arise through chromosomal rearrangements that create extrachromosomal DNA elements.
Isabelle Seufert   +3 more
wiley   +1 more source

Epigenetic reprogramming in multiple myeloma—Challenges and opportunities

open access: yesInternational Journal of Cancer, EarlyView.
Abstract In cancer, mutational processes act in concert with epigenetic reprogramming to endow malignant cells with hallmark properties that underpin tumorigenesis. Compared with the relatively rigid and slow processes of genetic evolution, the plastic nature of chromatin enables cells to adapt to a changing environment more rapidly.
Subhasree Kumar   +2 more
wiley   +1 more source

Integrating surface‐enhanced Raman scattering with machine learning: Pioneering a comprehensive diagnostic and therapeutic platform for cancer management

open access: yesInterdisciplinary Medicine, EarlyView.
Integrating Surface‐Enhanced Raman Scattering (SERS) with machine learning creates a powerful platform for cancer management. This approach enhances diagnostic precision through non‐invasive molecular fingerprinting and enables real‐time therapeutic monitoring. By combining SERS with machine learning, it offers a comprehensive solution for early cancer
Heng‐Zhou He   +9 more
wiley   +1 more source

The role of artificial intelligence in pharmacy: Revolutionizing drug development and beyond

open access: yesJournal of Intelligent Medicine, EarlyView.
This comprehensive review explores the integration of artificial intelligence (AI) in the field of pharmacy, covering advancements in drug discovery, personalized medicine, medication management, and patient care. It synthesizes current research, methodologies, and future prospects, offering insights into how AI technologies are reshaping ...
Usman Shettima Usman   +8 more
wiley   +1 more source

Uncertainty Quantification Using Ensemble Learning and Monte Carlo Sampling for Performance Prediction and Monitoring in Cell Culture Processes

open access: yesJournal of Raman Spectroscopy, EarlyView.
This study introduces a novel method for uncertainty quantification in machine learning models for cell culture processes, addressing challenges of limited training data. By combining ensemble learning and Monte Carlo simulations, the approach enhances model robustness, as demonstrated in predicting antibody concentrations and real‐time monitoring of ...
Thanh Tung Khuat   +3 more
wiley   +1 more source

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